Ambassador @adaption_ai | AI Engineer | 10Pearls FYP '25. Specialist in LLMs, RAG & LangChain. Building intelligent AI automations & full-stack web apps.

Karachi, Pakistan
Zero data used to be a hard stop. Now we just invent the dataset.+17% quality, +19% diversity over top models, and constraints don’t slow it down. Proud @adaption_ai ambassador. This is a real leap for post-training.
The biggest hurdle in frontier AI is curating high-quality, diverse data. What happens if you need to post-train a model for a new capability, but have zero data? Today, we release the technical report for Invent a Dataset.
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Proud Adaption Labs ambassador here, and the SF HQ looks 🔥 Can't wait to join the team and build with you all!
Our team spans continents. But every company needs a place where the work comes together. Welcome to our headquarters in San Francisco.
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Tried Invent a Dataset last week. The new Invent API makes it even smoother: you can build custom, AI-ready datasets in minutes with a few lines of code. Solid upgrade from @adaption_ai . #Engineering
Last week we introduced Invent a Dataset. Describe what you need. Hit go. Today, we’re making it even easier with the Invent API. A few lines of code. AI ready training datasets in minutes.
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This is big. Describe the dataset you need → get a structured, training-ready dataset back. No existing data required. Dataset creation just shifted from collection to pure specification. Impressive work @adaption_ai 🔥
Introducing Invent a Dataset. Describe the dataset you need. Get a structured, training-ready dataset back. No existing data needed. Dataset creation used to start with collection. Now it starts with specification.
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🏆 Honored to receive awards in both Part 1 & Part 2 of the @adaption_ai #AutoScientist Challenge, and 🥇 1st Place in Finance! Thank you @sarahookr , @RossAndAi , @lizasanon , @ecats_ , @IsabelleAtCamp & the entire adaption team. And thank you for the amazing swag! ❤️🔥 #AI
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As an Adaption Ambassador, sharing this. AutoScientist Alignment auto-configures & self-improves RL recipes, less compute, no endless ablations. Great work @adaption_ai
Introducing AutoScientist Alignment. Automatically configure and self-improve your reinforcement learning recipe using AutoScientist. Save compute and endless ablations. Game the system and allow AutoScientist to do the work. Now extended to RL recipes.
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Just completed the Google AI Professional Certificate, 7 courses, 20+ hands-on AI artifacts, and one vibe-coded app later Brainstorming, research, writing, content, data analysis, app building, all with AI in the loop. Verify: coursera.org/verify/professi… #AI #BuildInPublic
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This is the shift. AutoScientist lets builders own frontier intelligence without needing a full research lab. Own your models. Accelerate your R&D. Stop renting intelligence.
You don't need a research team the size of a lab to own frontier AI. You need AutoScientist. Own your own intelligence. Accelerate your own R&D.
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Thank you for sharing informative and valuable resources.
Cloud projects are fun until the first bill arrives... I checked the current terms of four Microsoft resources that can make the early stages much cheaper for DS students, AI builders, and early founders. Here's what each one actually offers 🧵
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Just submitted AgriIntel-Contextual-Yield-Reasoning-v1 for AutoScientist Part 2 by @adaption_ai ! 🌾🤖 Powered by openai/gpt-oss-120b with multi-step agronomic reasoning. 📈 +175% Quality Score Boost 🎯 Grade E ➡️ Grade C 👇 Links in the comments! #AI #AutoScientist
Made with AI
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We don’t need 70B models for robust Python pipelines. We just need better data. 💡 I built CodeIntel-4B for the AutoScientist Challenge: an edge-deployable reasoning engine that thinks before it codes, powered by @adaption_ai . Demo below 👇 Links in replies! #AI
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Just accepted into the @EgoistMachines AI Passport Ideathon! Excited to leverage my Python & ML background to build secure agent permission flows and a unified memory layer. Let's win this! @erinmerylstudy @davidobot_
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Enterprise data was never just text. It's documents, images, charts, all at once. AutoScientist is now multimodal, automatically self-improving frontier AI across modalities. You walk away with a frontier model that recognizes the information you care about.
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Part 2 of my AutoScientist Challenge is live! Meet MarketIntel-Macro-Reasoning-Mistral-7B 🧠📊 📈 Financial domain win-rate: 13% ➔ 87% 📈 General win-rate: 45% ➔ 56% (Zero catastrophic forgetting!) Built on @adaption_ai . Weights open-source! 👇 🔗huggingface.co/asadullahdoga…
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Join part 2 of the AutoScientist Challenge 💪 Your idea could be next → adaptionlabs.ai/blog/autosci…
The next breakthrough AI model could come from anyone. Someone with a unique perspective. A problem worth solving. A domain that needs better intelligence. $60,000 in prizes. Your idea could be next.
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Do you remember when you joined X? I do! #MyXAnniversary
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Most HR AI models predict a binary flight-risk score. I fine-tuned CorpIntel-HR-Agent (Llama-3.2-3B) to output full reasoning + retention plans from raw telemetry. Built for @adaption_ai AutoScientist Challenge 🤗 huggingface.co/asadullahdoga…
Made with AI
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